Alvaro Ulloa
Alvaro Ulloa
Janssen Research & Development
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Cited by
Cited by
Deep learning applications for predicting pharmacological properties of drugs and drug repurposing using transcriptomic data
A Aliper, S Plis, A Artemov, A Ulloa, P Mamoshina, A Zhavoronkov
Molecular pharmaceutics 13 (7), 2524-2530, 2016
Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural network
S Raghunath, AE Ulloa Cerna, L Jing, DP VanMaanen, J Stough, ...
Nature medicine 26 (6), 886-891, 2020
Predicting survival from large echocardiography and electronic health record datasets: optimization with machine learning
MD Samad, A Ulloa, GJ Wehner, L Jing, D Hartzel, CW Good, BA Williams, ...
JACC: Cardiovascular Imaging 12 (4), 681-689, 2019
Deep neural networks can predict new-onset atrial fibrillation from the 12-lead ECG and help identify those at risk of atrial fibrillation–related stroke
S Raghunath, JM Pfeifer, AE Ulloa-Cerna, A Nemani, T Carbonati, L Jing, ...
Circulation 143 (13), 1287-1298, 2021
A three-way parallel ICA approach to analyze links among genetics, brain structure and brain function
VM Vergara, A Ulloa, VD Calhoun, D Boutte, J Chen, J Liu
Neuroimage 98, 386-394, 2014
Quantitative EEG biomarkers for mild traumatic brain injury
JD Lewine, S Plis, A Ulloa, C Williams, M Spitz, J Foley, K Paulson, ...
Journal of Clinical Neurophysiology 36 (4), 298-305, 2019
A machine learning approach to management of heart failure populations
L Jing, AE Ulloa Cerna, CW Good, NM Sauers, G Schneider, DN Hartzel, ...
Heart Failure 8 (7), 578-587, 2020
Synthetic structural magnetic resonance image generator improves deep learning prediction of schizophrenia
A Ulloa, S Plis, E Erhardt, V Calhoun
2015 IEEE 25th International Workshop on Machine Learning for Signal …, 2015
Deep-learning-assisted analysis of echocardiographic videos improves predictions of all-cause mortality
AE Ulloa Cerna, L Jing, CW Good, DP vanMaanen, S Raghunath, ...
Nature Biomedical Engineering 5 (6), 546-554, 2021
A pilot study on collective effects of 22q13. 31 deletions on gray matter concentration in schizophrenia
J Liu, A Ulloa, N Perrone-Bizzozero, R Yeo, J Chen, VD Calhoun
PloS one 7 (12), e52865, 2012
Improving classification rate of schizophrenia using a multimodal multi-layer perceptron model with structural and functional MR
A Ulloa, S Plis, V Calhoun
arXiv preprint arXiv:1804.04591, 2018
Association Between Copy Number Variation Losses and Alcohol Dependence Across A frican A merican and E uropean A merican Ethnic Groups
AE Ulloa, J Chen, VM Vergara, V Calhoun, J Liu
Alcoholism: Clinical and Experimental Research 38 (5), 1266-1274, 2014
Automatic classification of radiological report for intracranial hemorrhage
K Jnawali, MR Arbabshirani, AE Ulloa, N Rao, AA Patel
2019 IEEE 13th international conference on semantic computing (ICSC), 187-190, 2019
Generation of synthetic structural magnetic resonance images for deep learning pre-training
E Castro, A Ulloa, SM Plis, JA Turner, VD Calhoun
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 1057-1060, 2015
Deep neural networks can predict 1-year mortality directly from ECG signal, even when clinically interpreted as normal
SM Raghunath, A Ulloa Cerna, L Jing, D Vanmaanen, JV Stough, ...
Circulation 140 (Suppl_1), A14425-A14425, 2019
Parallel ica with multiple references: A semi-blind multivariate approach
J Chen, VD Calhoun, AE Ulloa, J Liu
2014 36th Annual International Conference of the IEEE Engineering in …, 2014
Latent-based imputation of laboratory measures from electronic health records: case for complex diseases
V Abedi, MK Shivakumar, P Lu, R Hontecillas, A Leber, M Ahuja, AE Ulloa, ...
BioRxiv, 275743, 2018
A deep neural network predicts survival after heart imaging better than cardiologists [Z/OL]
A Ulloa, L Jing, CW Good
arXiv 1811, 10553, 2018
Detecting volumetric changes in fMRI connectivity networks in schizophrenia patients
MR Arbabshirani, MS Pattichis, A Ulloa, VD Calhoun
2014 36th Annual International Conference of the IEEE Engineering in …, 2014
Detección automática de defectos en telas basado en la demodulación AM-FM
A Ulloa, P Rodríguez
Ibero-American Conference on Trends in Engineering Education and Collaboration, 2009
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